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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using verbal autopsy to track epidemic dynamics: the case of HIV-related mortality in South Africa
|
|---|---|
| Published in |
Population Health Metrics, August 2011
|
| DOI | 10.1186/1478-7954-9-46 |
| Pubmed ID | |
| Authors |
Peter Byass, Kathleen Kahn, Edward Fottrell, Paul Mee, Mark A Collinson, Stephen M Tollman |
| Abstract |
Verbal autopsy (VA) has often been used for point estimates of cause-specific mortality, but seldom to characterize long-term changes in epidemic patterns. Monitoring emerging causes of death involves practitioners' developing perceptions of diseases and demands consistent methods and practices. Here we retrospectively analyze HIV-related mortality in South Africa, using physician and modeled interpretation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 13% |
| Student > Doctoral Student | 7 | 13% |
| Professor > Associate Professor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 36% |
| Social Sciences | 15 | 27% |
| Mathematics | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 July 2012.
All research outputs
#13,009,246
of 22,655,397 outputs
Outputs from Population Health Metrics
#255
of 391 outputs
Outputs of similar age
#76,635
of 119,809 outputs
Outputs of similar age from Population Health Metrics
#16
of 20 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 119,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.